ILEC Centre •London•

Will Hoy & David Liu

Today, Bloomberg's many engineering teams around the globe have the luxury of access to a fully-managed RabbitMQ platform. This enables them to achieve scalability, flexibility, and maintainability, without needing to focus on the RabbitMQ Server details. We’ll see how one such team has used the platform to build a system at scale which is capable of servicing billions of financial data requests each day, and highlight the architecture that streamlines their request routing.

Michael Klishin & Diana Parra Corbacho

A lot has happened since the last RabbitMQ Summit. Hear from the RabbitMQ core engineering team about what near term updates to 3.8 will include as well as longer-term vision for making RabbitMQ more protocol agnostic, easier to manage and scale, and changes to the schema database.

Gerhard Lazu & Michal Kuratczyk

RabbitMQ exposes metrics and healthchecks that answer all questions. Future RabbitMQ versions will make it easy to visualise and understand what happens under the hood. Join me to learn about the future of RabbitMQ observability.

Gavin Roy

After 10 years of heavy use of RabbitMQ in production, common problems, patterns, and solutions have emerged. In this talk we will cover architecture, configuration and operational management, monitoring, and maybe a disaster story or two.

Riccardo Piccoli & Basilio Vera

We will go through Softonic's distributed Event Sourcing solution applied to its microservices environment, implementing it leveraging RabbitMQ.

Ilana Sufrin & Avikam Agur

Through a good understanding of their data needs and a willingness to compromise, Ilana and Avikam figured out how to rearchitect their app's RabbitMQ pipeline in order to save their company developer time and money. They are here to show you a strategy to guarantee message serialization when order matters, and to convince you that sometimes the best solution is just "good enough". This talk dives into a real-life story of using, and fixing, RabbitMQ at WeWork.

Jack Vanlightly

They call RabbitMQ the swiss army knife of messaging systems, but what impact do all those features have on performance?

In this talk we'll review common features and their effect on end-to-end latency, throughput and broker load. We'll see concrete numbers and come to actionable conclusions that will help you make more balanced decisions regarding the tradeoffs of the powerful functionality available vs performance.

Omar Elasfar

Zalando's Communication platform products are powered by a RabbitMQ cluster as the broker for all service to service communication. A mixed set of work loads between transactional & commercial communication use-cases running 24/7 our systems gains their scalability and resilience patterns relying on multiple telemetry points we collect and react on in real time. Managing cost efficiency and finding the right spot to launch more compute power has been a seamless effort with backlogs as a steering point alongside CPU utilization of the consumer application.

Grigory Starinkin

RabbitMQ is a multi-protocol messaging broker, which, on a vanilla installation supports AMQP-0.9-1 (and AMQP-0.8). Through its plugin architecture, RabbitMQ may also be configured to act as a messaging broker for other protocols such as MQTT, STOMP, AMQP-1.0, CoAP, SMTP, etc. EMQX is another emerging MQTT messaging broker of high repute and use in industry. Questions arise on which one is better for MQTT, or which one to use? RabbitMQ for MQTT, or EMQX? Join me in this talk as I answer these questions and help users decide on the best choice MQTT broker to use.

Kacper Mentel

RabbitMQ runs on a battle-tested Erlang VM which provides many exceptional features for Distributed, Fault-Tolerant, Highly Available and Robust systems out of the box. But this doesn't always prevent our RabbitMQ installation from misbehaving without clear signs of what's wrong. It can be frustrating for operators and developers. Here Tracing, another Erlang feature, comes to the rescue! There are a number of techniques that use it to find a root cause of a failure. I'll guide you through them in this talk.

Madhav Sathe

In this session you will learn how to use Spring Cloud Streams with RabbitMQ. We will build data pipeline using Spring Cloud Data Flow. We will demonstrate how applications can be deployed and scaled using Cloud Foundry. This is a live-coding session.

Wander Costa

How to connect your SpringBoot application to multiple RabbitMQ brokers? But why do you need multiple RabbitMQ brokers in the first place? The solution I'm going to present solves different use cases: from brokers in different PAAS providers to dedicated brokers for different use cases or contexts. To solve these problems in hundreds of micro-services, we wrote this simple-to-use open source library.

Lovisa Johansson & Anders Bälter

CloudAMQP provides RabbitMQ clusters as a service, but what happens behind the scenes? CloudAMQP is powered by a number of RabbitMQ servers that provide various functionality in setting up, configuring, monitoring, updating and modifying our RabbitMQ service. In this talk we'll go into how AMQP and RabbitMQ can be used to power a micro service architecture from the bottom up with flexibility and reliability.

Karl Nilsson

Quorum Queues are a promising new RabbitMQ feature but how do they work under the hood? What were the design decisions and trade-offs that had to be made and what even is Raft?

In this session I aim to explain how Quorum Queues came about as well as a high-level overview of the design.